code: def is_identifier_column(
      data: pd.Series, col_name: str, id_mappings: Dict[str, Dict]
  ) -> bool:
      """
      Check if a column is one identifier column.
  
      Parameters
      ----------
      data
          One column of multimodal pd.DataFrame.
      col_name
          Name of the column.
      id_mappings
          Id-to-content mappings. The contents can be text, image, etc.
          This is used when the dataframe contains the query/response indexes instead of their contents.
  
      Returns
      -------
      Whether the column is an identifier column.
      """
      if not id_mappings or col_name not in id_mappings:
          return False
  
      sample_num = min(len(data), 500)
      data = data.sample(n=sample_num, random_state=0).tolist()
      failure_count = 0
      for index in data:
          try:
              per_value = id_mappings[col_name][index]
          except:
              failure_count += 1
  
      if failure_count == 0:
          return True
      elif 0 < failure_count < sample_num:
          warnings.warn(
              f"Among {sample_num} sampled indexes in column {col_name}, "
              f"we can't index all their values from the id_mappings ({failure_count} failures). "
              f"You may need to assure that all the indexes of column {col_name} exist in your id_mappings.",
              UserWarning,
          )
      else:
          return False
  
imports: import collections
  import json
  import logging
  import warnings
  from io import BytesIO
  from typing import Dict, List, Optional, Tuple, Union
  import pandas
  import PIL
  import pytesseract
  from autogluon.core.utils import infer_problem_type
  from ..constants import BINARY, CATEGORICAL, CLASSIFICATION, DOCUMENT_IMAGE, DOCUMENT_PDF, IDENTIFIER, IMAGE, IMAGE_BYTEARRAY, IMAGE_PATH, MULTICLASS, NER, NER_ANNOTATION, NULL, NUMERICAL, OBJECT_DETECTION, OPEN_VOCABULARY_OBJECT_DETECTION, REGRESSION, ROIS, SEMANTIC_SEGMENTATION, SEMANTIC_SEGMENTATION_GT, SEMANTIC_SEGMENTATION_IMG, TEXT, TEXT_NER
  from .utils import is_rois_input
label_desc: Use image node_id 8 for calling a global function with example usage: is_identifier_column(data, col_name, id_mappings) and returns: False, True, False